Finite Element Analysis of Drive Axle Housing of a Special Vehicle-Reference-Cited by-同舟云学术

Finite Element Analysis of Drive Axle Housing of a Special Vehicle

Published:2012-11 Issue: Volume:590 Page:352-356
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Ma Cong Bing¹,Wu Yong Hai¹

Affiliation:

1. Huaiyin Institute of Technology

Abstract

The integral axle housing of a special vehicle was taken as the research object, with the 3D model of the drive axle housing built by using 3D CAD software UG. The ANSYS is taken as the FEA computing platform, the strength and stiffness of the axle housing under the five load conditions is calculated by it. The results show that the impact of such conditions, the drive axle housing can happen to be yield easily. While in the remaining conditions, the drive axle housing is not too much security reserves, which exit some certain security risks. The method used in this paper for great guiding significance to reduce product development costs, shorten development cycles and improve product quality.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.590.352.pdf

Reference9 articles.

1. Lund E. Finite Element Based Design Sensitivity Analysis and Optimization . Aalborg: Aalborg University, (1998).

2. Bhattacharya B, Ellingwood B, Continuum damage mechanics analysis of fatigue crack initiation. Int.J. Fatigue, 1998, 20 (9), pp.631-639.

3. SmithI F C, Hirt MA. Methods of improving the fatigue strength of weld joints: Publication ICOM114. ICOM—Construction metal lique. Lausanne, France: Federal Institute of Technology, 1984, pp.1773-1782.

4. Yamada K, Hirt MA. Fatigue life estimation using fracture, Mechanics . Fatigue of Steel and Concrete Structures: IABSE Proc. Laussane: International Association for Bridge and Structural Engineering(IABSE). 1982, pp.361-368.

5. S. Kashyap,W. R. DeVries. Finite element analysis and optimization in fixture design[J]. Structural Optimization, 1999, 18, pp.21-25.